Packt Publishing, 2016. — 50 p.
It is a well-established fact that we, as human beings, learn through experience. During our early childhood, we learn to imitate sounds, form words, group them into phrases, and finally how to talk to another person. Later, in elementary school, we are taught numbers and letters, how to recognize them, and how to use them to make calculations and spell words.
Similarly, if a machine--or more accurately, a computer program--can improve how it performs a certain task based on past experience, then you can say that it has learned or that it has extracted knowledge from data.
This eGuide is designed to act as a brief, practical introduction to machine learning. It is full of practical examples which will get you up a running quickly with the core tasks of machine learning.